Location via proxy:   [ UP ]  
[Report a bug]   [Manage cookies]                
Skip to main content
SpringerLink
Log in

A novel traffic aware reliable gateway selection in wireless mesh network

  • Published:
Cluster Computing Aims and scope Submit manuscript

Abstract

In wireless mesh networks (WMNs) the traffic-aware reliable gateway selection is the key for enhancing the quality of service (QoS) to improve the network performance. In this paper, we have proposed the novel traffic aware reliable gateway selection (TARGS) scheme to improve the QoS in WMNs. In the TARGS scheme, the aggregated traffic at a particular Mesh Router (MR) is calculated using two QoS parameters that are connecting degree and interface queue length. Based on the aggregated traffic, the candidate internet gateways (CIGs) are selected in the region where a high amount of traffic is generated. Internet gateways (IGWs) are chosen based on the reliability value, which is obtained for each CIG using the path tracing method. Simulation results show that the proposed scheme has outperformed two existing schemes in the literature and obtained lower average latency and traffic load and higher throughput than the existing schemes.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8

Similar content being viewed by others

Data availibility

All data generated or analysed during this study are included in this article.

Code availability

Not applicable.

References

  1. Champati, J.P., Al-Zubaidy, H., Gross, J.: Transient analysis for multihop wireless networks under static routing. IEEE/ACM Trans. Netw. 28(2), 722–735 (2020)

    Article  Google Scholar 

  2. Jiang, X., Zhang, H., Yi, E.A.B., Raghunathan, N., Mousoulis, C., Chaterji, S., Bagchi, S.: Hybrid low-power wide-area mesh network for iot applications. IEEE Internet Things J. 8(2), 901–915 (2020)

    Article  Google Scholar 

  3. Goldberg, B.S., Hall, J.E., Pham, P.K., Cho, C.S.: Text messages by wireless mesh network vs voice by two-way radio in disaster simulations: A crossover randomized-controlled trial. Am. J. Emergency Med. 48, 148–155 (2021)

    Article  Google Scholar 

  4. Yang, S., Chan, H.C., Lam, P.P., Chong, P.H.: MeshFS: a distributed file system for cloud-based wireless mesh network. J. Syst. Softw. 131, 201–217 (2017)

    Article  Google Scholar 

  5. Vijayanand, R., Devaraj, D.: A novel feature selection method using whale optimization algorithm and genetic operators for intrusion detection system in wireless mesh network. IEEE Access 8, 56847–56854 (2020)

    Article  Google Scholar 

  6. Wang, J., Xie, B., Agrawal, D.P.: Journey from mobile ad hoc networks to wireless mesh networks. In: Guide to Wireless Mesh Networks, pp. 1–30 (2009) Springer, London

  7. Mohammed, A.A.W., Al-Ghrairi, A.H.T.: Differences between ad hoc networks and mobile ad hoc networks: a survey. J. Southwest Jiaotong Univ. 54(4), 1–12 (2019)

    Google Scholar 

  8. Tahboush, M., Agoyi, M.: A hybrid wormhole attack detection in mobile ad-hoc network (MANET). IEEE Access 9, 11872–11883 (2021)

    Article  Google Scholar 

  9. Chai, Y., Zeng, X.J.: Delay-and interference-aware routing for wireless mesh network. IEEE Syst. J. 14(3), 4119–4130 (2020)

    Article  ADS  Google Scholar 

  10. Tian, Y., Yoshihiro, T.: Traffic-demand-aware collision-free channel assignment for multi-channel multi-radio wireless mesh networks. IEEE Access 8, 120712–120723 (2020)

    Article  Google Scholar 

  11. Duong, T.V.T.: Load balancing routing under constraints of quality of transmission in mesh wireless network based on software defined networking. J. Commun. Netw. 23(1), 12–22 (2021)

    Article  Google Scholar 

  12. Shibalabala, J., Swart, T.G.: Performance analysis of wireless mesh networks for underground mines. In: IEEE International Conference on Artificial Intelligence, Big Data, Computing and Data Communication Systems, 2020 pp. 1–6

  13. Islam, M., Sharmin, S., Nur, F.N., Razzaque, M.A., Hassan, M.M., Alelaiwi, A.: High-throughput link-channel selection and power allocation in wireless mesh networks. IEEE Access 7, 161040–161051 (2019)

    Article  Google Scholar 

  14. Liu, W., Xu, C., Tian, Z., Li, D.K., Lu, G.Z., She, W.: Research on gateway deployment for throughput optimization in wireless mesh networks. In: IEEE International Conference on Computer, Information and Telecommunication Systems, 2019 pp. 1–5

  15. Duong, T.V.T., Ngo, V.M.: Reinforcement learning for QoS-guaranteed intelligent routing in wireless mesh networks with heavy traffic load. ICT Express 8(1), 18–24 (2022)

    Article  Google Scholar 

  16. Pandey, S., Kadambi, G.R.: Modeling wireless mesh networks for load management. Int. J. Adv. Comput. Sci. Appl. 13(5), 15–56 (2022). https://doi.org/10.14569/IJACSA.2022.0130530

    Article  Google Scholar 

  17. Taleb, S.M., Meraihi, Y., Gabis, A.B., Mirjalili, S., Ramdane-Cherif, A.: Nodes placement in wireless mesh networks using optimization approaches: a survey. Neural Comput. Appl. 34, 1–37 (2022)

    Article  Google Scholar 

  18. Hussain, M., Ahmed, N., Ahmed, M., Iqubal, Z., Sarma, N.: QoS provisioning in wireless mesh networks: a survey. Wirel. Personal Commun. 122(1), 157–195 (2022)

    Article  Google Scholar 

  19. Kim, H.J., Kim, M.S., Han, S.J.: Collision-free optimal packet scheduling algorithm for multi-hop wireless IoT networks. Comput. Netw., 206 (2022), https://doi.org/10.1016/j.comnet.2022.108816

  20. Wzorek, M., Berger, C., Doherty, P.: Router and gateway node placement in wireless mesh networks for emergency rescue scenarios. Autonom. Intell. Syst. 1(1), 1–30 (2021)

    Google Scholar 

  21. Chai, Y., Zeng, X.J.: Regional condition-aware hybrid routing protocol for hybrid wireless mesh network. Comput. Netw. 148, 120–128 (2019)

    Article  Google Scholar 

  22. Ding, F., Song, A., Tong, E., Li, J.: A smart gateway architecture for improving efficiency of home network applications. J. Sens. 2016, 1–10 (2016)

    CAS  Google Scholar 

  23. Xu, H., Zhao, Y., Zhang, L., Wang, J.: A bio-inspired gateway selection scheme for hybrid mobile ad hoc networks. IEEE Access 7, 61997–62010 (2019)

    Article  Google Scholar 

  24. Abujoda, A., Dietrich, D., Papadimitriou, P., Sathiaseelan, A.: Software-defined wireless mesh networks for internet access sharing. Comput. Netw. 93, 359–372 (2015)

    Article  Google Scholar 

  25. Ashraf, U.: Energy-aware gateway placement in green wireless mesh networks. IEEE Commun. Lett. 21(1), 156–159 (2016)

    Article  Google Scholar 

  26. Batbayar, K., Dimogerontakis, E., Meseguer, R., Navarro, L., Medina, E., Santos, R.M.: The RIMO gateway selection approach for mesh networks: towards a global internet access for all. Multidisc. Digital Publish. Inst. Proc. 2(19), 1258 (2018)

    Google Scholar 

  27. Farooq, M.O., Sreenan, C.J., Brown, K.N., Kunz, T.: Design and analysis of RPL objective functions for multi-gateway ad-hoc low-power and lossy networks. Ad Hoc Netw. 65, 78–90 (2017)

    Article  Google Scholar 

  28. Gokbayrak, K.: Robust gateway placement in wireless mesh networks. Comput. Oper. Res. 97, 84–95 (2018)

    Article  MathSciNet  Google Scholar 

  29. Huang, S., Tao, M.: Competitive swarm optimizer based gateway deployment algorithm in cyber-physical systems. Sensors 17(1), 209 (2017)

    Article  ADS  MathSciNet  PubMed  PubMed Central  Google Scholar 

  30. Parvanak, A.R., Jahanshahi, M., Dehghan, M.: A cross-layer learning automata based gateway selection method in multi-radio multi-channel wireless mesh networks. Computing 101(8), 1067–1090 (2019)

    Article  MathSciNet  Google Scholar 

  31. Xu, D., Jiao, W., Yin, Z., Wu, B., Peng, Y., Chen, X., Fang, D.: Enabling robust and reliable transmission in internet of things with multiple gateways. Comput. Netw. 146, 183–199 (2018)

    Article  Google Scholar 

  32. Dimogerontakis, E., Neto, J., Meseguer, R., Navarro, L., Veiga, L.: Client-side routing-agnostic gateway selection for heterogeneous wireless mesh networks. In: IEEE Symposium on Integrated Network and Service Management, (2017) pp. 377–385

  33. Bozorgchenani, A., Jahanshahi, M.: A novel reliability and traffic aware gateway selection scheme in wireless mesh networks. Wirel. Personal Commun. 96(4), 6111–6128 (2017)

    Article  Google Scholar 

  34. Boushaba, M., Hafid, A., Gendreau, M.: Node stability-based routing in wireless mesh networks. J. Netw. Comput. Appl. 93, 1–12 (2017)

    Article  Google Scholar 

  35. Li, F., Wang, Y., Li, X.Y., Nusairat, A., Wu, Y.: Gateway placement for throughput optimization in wireless mesh networks. Mobile Netw. Appl. 13(1), 198–211 (2008)

    Article  Google Scholar 

  36. Li, Y., Huang, S., Fan, R., Zhang, Z., Zhou, Y.: Research on gateway deployment of WMN based on maximum coupling subgraph and PSO algorithm. Soft Comput. 21(4), 923–933 (2017)

    Article  Google Scholar 

  37. Zhao, L., Al-Dubai, A.Y., Min, G.: An efficient neighbourhood load routing metric for wireless mesh networks. Simul. Modell. Pract. Theory 19(6), 1415–1426 (2011)

    Article  Google Scholar 

  38. Galvez, J.J., Ruiz, P.M., Skarmeta, A.F.: Responsive on-line gateway load-balancing for wireless mesh networks. Ad Hoc Netw. 10(1), 46–61 (2012)

    Article  Google Scholar 

  39. Choi, H.G., Han, S.J.: Domain load balancing routing for multi-gateway wireless mesh networks. Wirel. Netw. 16(8), 2105–2122 (2010)

    Article  Google Scholar 

  40. Kushwah, R., Tapaswi, S., Kumar, A., Pattanaik, K.K., Yousef, S., Cole, M.: Gateway load balancing using multiple QoS parameters in a hybrid MANET. Wirel. Netw. 24(4), 1071–1082 (2016)

    Article  Google Scholar 

Download references

Funding

The authors declare that no funds, grants, or other support were received during the preparation of this manuscript.

Author information

Authors and Affiliations

  1. Department of Computer Science & Engineering and Information Technology, Jaypee Institute of Information Technology, Noida, Uttar Pradesh, 201304, India

    Rashmi Kushwah

Authors
  1. Rashmi Kushwah
    View author publications

    You can also search for this author in PubMed Google Scholar

Contributions

The authors contributed to the study conception, design, material preparation and analysis.

Corresponding author

Correspondence to Rashmi Kushwah.

Ethics declarations

Conflict of interest

The authors have no relevant financial or non-financial interests to disclose.

Consent to participate

Not applicable.

Consent for publication

Not applicable.

Ethical approval

The submitted work is original and have not been submitted or published elsewhere in any form. The authors have submitted this manuscript in accordance with Springer journal policies on author responsibilities.

Human participants

This article does not contain any studies with human participants or animals performed by the author.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Kushwah, R. A novel traffic aware reliable gateway selection in wireless mesh network. Cluster Comput 27, 673–687 (2024). https://doi.org/10.1007/s10586-023-03971-6

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10586-023-03971-6

Keywords

Search

Navigation